ESTRO 2025 - Abstract Book

S2156

Interdisciplinary – Education in radiation oncology

ESTRO 2025

Keywords: Oncology, knowledge, children

References: 1.

Costanza Maria Donati, Rossella Di Franco, Silvia Cammelli, Giambattista Siepe, Maurizio Mascarin, Federico Mercolini, Riccardo Masetti, Camilla Satragno, Francesco Cuccia, Enrico Pozzo, Arcangelo Prete, Alessio Giuseppe Morganti, 755: What is the view of palliative radiotherapy from radiation and pediatric oncologists? Radiotherapy and Oncology, Volume 194, Supplement 1, 2024, Pages S2667-S2668, ISSN 0167-8140, https://doi.org/10.1016/S0167-8140(24)01297-0. 2. Derek S. Tsang, John Austin Vargo, Karen Goddard, John C. Breneman, John A. Kalapurakal, Karen J. Marcus. Palliative radiation therapy for children with cancer. Pediatr Blood Cancer. 2021;68(Suppl. 2): https://doi.org/10.1002/pbc.28292

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Digital Poster From Literature to Clinical Practice: Development and Implementation of a Comprehensive Dose Constraint Database for Radiotherapy Maximilian Grohmann, Cordula Petersen, Andrea Baehr, David Krug University Medical Center Hamburg-Eppendorf, Department of Radiotherapy and Radiation Oncology, Hamburg, Germany Purpose/Objective: To develop and implement a comprehensive dose constraint database (DCD) integrated with automated plan checking software (PlanCheck) in a radiation oncology department, addressing both technical implementation and organizational change management aspects. Material/Methods: The implementation followed Kotter's 8-step change management model [1] to ensure sustainable organizational change. A project team consisting of medical physicists and radiation oncologists developed a unified database incorporating constraints from established sources (Timmerman-Tables [2], CORSAIR [3]) and institutional experience. Implementation included a systematic validation process with five test cases representing different treatment scenarios. The technical solution was implemented through PlanCheck, an in-house developed C# application utilizing the Treatment Planning System's API for automated constraint selection and structure matching, with manual override options for clinical flexibility. Results: Implementation following Kotter's eight-phase (Fig. 1) approach resulted in a comprehensive DCD comprising 939 organ-specific constraints across 9 constraint tables, covering 6 body regions and various fractionation schemes, including specialized protocols for hypofractionated breast and prostate treatments. Integration with PlanCheck (Fig. 2) enabled reliable automatic constraint selection through standardized CT protocols and contouring nomenclature, accommodating different fractionation schemes. Validation testing confirmed consistent verification across treatment sites with proper documentation. During the initial three-month period, the system maintained 99.9% uptime while processing 461 treatment plans and thereby verifying 12447 organ-specific dose constraints.